A Novel NLOS Localization Method Based on Tabu Search

Author

Long Cheng ; Chengdong Wu ; Hao Wu ; Li Chen

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

fYear

2013

fDate

13-15 Nov. 2013

Firstpage

316

Lastpage

320

Abstract

The indoor localization method based on wireless sensor network is attractive, the problems concerning how to identify the signal propagation state in the complex indoor environment and how to mitigate the NLOS error are challenging. In this paper, we propose a novel NLOS localization method based on Tabu search. We firstly identify the propagation state based on Kalman frame. Then a Tabu search method is employed to mitigate the NLOS error. In comparison with the Kalman and robust Kalman method, simulation results show that the proposed method has higher localization accuracy.

Keywords

Kalman filters; indoor radio; search problems; wireless sensor networks; NLOS error mitigation; NLOS localization method; complex indoor environment; indoor localization method; localization accuracy; robust Kalman method; signal propagation state identification; tabu search; wireless sensor network; Indoor environments; Kalman filters; Measurement uncertainty; Noise; Noise measurement; Standards; Wireless sensor networks; Kalman filter; NLOS; Tabu search; localization; wireless sensor network;

fLanguage

English

Publisher

ieee

Conference_Titel

High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on

Conference_Location

Zhangjiajie

Type

conf

DOI

10.1109/HPCC.and.EUC.2013.53

Filename

6831935